地磁图数据随机误差建模与补偿  

Random error modeling and compensating of geomagnetic map data

作　　者：牟东[1] 青泽 赵军瑞 廉璞 Mu Dong;Qing Ze;Zhao Junrui;Lian Pu(Institute of Electronic Engineering,China Academy of Engineering Physics,Mianyang 621999,China;School of Instrument Science and Opto-electronics Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)

机构地区：[1]中国工程物理研究院电子工程研究所,绵阳621999 [2]北京航空航天大学仪器科学与光电工程学院,北京100191

出　　处：《电子测量与仪器学报》2021年第12期8-14,共7页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(62473019)项目资助。

摘　　要：地磁图是影响地磁匹配导航性能的重要因素,其中地磁图的随机误差严重影响匹配定位精度,甚至导致误匹配。为提高地磁匹配性能,提出了地磁图数据随机误差建模与补偿方法。该方法在对地磁图数据随机误差特性分析的基础上,建立数据的非平稳时间序列模型,并将此模型作为状态方程,以实时数据为量测量,采用Kalman滤波方法对地磁图数据进行滤波,补偿地磁图数据的随机误差。通过基于滤波前后地磁图数据的导航定位实验,间接证明滤波方法的有效性。对实际地磁图数据处理结果表明,应用该方法滤波后的地磁图数据进行导航,其定位精度提高了54.7%。Geomagnetic map is an important factor affecting the performance of geomagnetic matching navigation.The random errors of the geomagnetic map seriously affect the accuracy of the matching and positioning,even lead to mismatching.In order to improve the geomagnetic matching performance,a method for modeling and compensating the random errors of geomagnetic data is proposed.This method establishes a non-stationary time series model of the data based on the analysis of the random error characteristics of the geomagnetic map data,uses Kalman filter,which the state equation is the times series model and the measurement is the real-time data,to filter the geomagnetic map data and compensate the random error.The effectiveness of the filtering method is indirectly proved through the navigation and positioning experiments based on the geomagnetic data before and after filtering.The actual geomagnetic map data processing results show that the geomagnetic map data filtered by the method in this paper can improve the positioning accuracy by 54.7%when it’s used for geomagnetic navigation.

关 键 词：地磁图 随机误差 时间序列模型 KALMAN滤波 

分 类 号：V241.5[航空宇航科学与技术—飞行器设计]